Artigo Completo:

Simulations focused on computational mechanics are technological resource and were built to forecast a real situation, or at least try to bring as much of it. The simulator is a tool created by different configurations that allow the evaluation of one physical process previously modeled. The Finite Element Methods is one way to obtain an approximation of a mathematical model that describes a physical behavior of one particular process. This method is frequently used in computational mechanics methods, because is an important tool for solving problems with differential and integral equations which are very common in engineering areas. MPhyScas (Multi-Physics Multi-Scale Solver Environment) is a computational environment dedicated to simulations of coupled phenomena problems, in other words, a set of phenomena interacting one to another, and considering time and space effects. This phenomena can be interpreted, for example, as deformations in solids, heat transfer and electromagnetic fields. Solutions for elastic, plastic and heat transfer problems, for example, are well know, but a new problem arise when all these phenomena are interacting one to another. The solution for problems with high levels of complexity that involves interactions among multiple phenomena, is not clear and represents one of the major challenges in computational mechanics . Based on this environment , there is a need for software that has the ability to work with several phenomena acting simultaneously. MPhyScas was used to the analysis in this project because it presents layer structure and is dedicated to the set of phenomena interactions. The aim of this dissertation is to develop simulators and simulations (using MPhyScas environment) for multi-physics problems. Simulators and simulations were initially created for problems involving only one phenomenon. After the tests and comparisons with the analytical solutions, other simulators were built and accordingly configured to the problems involving elasticity, plasticity and diffusion phenomena.